Engineering and Information Technology Collected Works - Research Publications

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    Peter Lilienthal. Von Koffern und Tätern
    Sandberg, C ; Haselberg, L ; Praetorius-Rhein, J ; Riedel, E (Carl Hanser Verlag, 2023)
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    Uncertainty in Selective Bagging: A Dynamic Bi-objective Optimization Model
    Maadi, M ; Khorshidi, HA ; Aickelin, U ; *, (Society for Industrial and Applied Mathematics, 2023-01)
    Bagging is a common approach in ensemble learning that generates a group of classifiers through bootstrapping for classification tasks. Despite its wide applications, generating redundant classifiers remains a central challenge in bagging. In recent years, many selective bagging models have been presented to deal with this challenge. These models mostly focused on the accuracy of classifiers and the diversity among them. Despite the importance of uncertainty in the performance of ensemble classifiers, this criterion has been neglected in selective bagging models. In this paper, we propose a two-stage selective bagging model. In the first stage, we formalize the selective bagging problem as a bi-objective optimization model considering both the uncertainty and accuracy of classifiers. We propose an adaptive evolutionary Two-Arch2 algorithm, named Diverse-Two-Arch2, to solve the bi-objective model. The output of this stage is a subset of classifiers that are diverse, certain about correct predictions, and uncertain about incorrect predictions. While most selective bagging models focus on the selection of a fixed subset of classifiers for all test samples (static approach), our proposed model has a dynamic approach to the selection process. So, in the second stage of the model, we select only certain classifiers to make an ensemble prediction for each test sample. Experimental results on twenty data sets and comparing with two ensemble models, and five state-of-the-art dynamic selective bagging models show the outperformance of the proposed model. We also compare the performance of the proposed Diverse-Two-Arch2 to alternative evolutionary computation methods.
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    Die frühen Fernseharbeiten von Peter Lilienthal. Ein jüdischer Remigrant im Westdeutschland der Nachkriegszeit
    Sandberg, C ; Wohl von Haselberg, L ; Pizaña Pérez, LA (Edition Text + Kritik, 2022)
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    Limitations
    Yang, Y ; Khorshidi, HA ; Aickelin, U (Springer Nature Singapore, 2022-01-01)
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    The importance of the socially-conscious engineer
    Cebon, P ; Shaw, J ; Farghaly, Z (GHD Digital, 2020)
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    DEFA - Desires, Possibilities, and Limitations
    Sandberg, C ; Bergfelder, T ; Carter, E ; Göktürk, D ; Sandberg, C (British F, 2020-02-04)
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    Feminism and Women's Cinema
    Carter, E ; Sandberg, C ; Bergfelder, T ; Carter, E ; Göktürk, D ; Sandberg, C (British Film Institute, 2020-02-04)
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    Das kleine Fernsehspiel: Model of a TV Avantgarde
    Sandberg, C ; Bergfelder, T ; Carter, E ; Göktürk, D ; Sandberg, C (British Film Institute, 2020-02-04)
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    Authorship: Introduction
    Sandberg, C ; Carter, E ; Bergfelder, T ; Carter, E ; Göktürk, D ; Sandberg, C (British Film Institute, 2020)
    This comprehensively revised, updated and significantly extended edition introduces German film history from its beginnings to the present day, covering key periods and movements including early and silent cinema, Weimar cinema, Nazi cinema, the New German Cinema, the Berlin School, the cinema of migration, and moving images in the digital era. Contributions by leading international scholars are grouped into sections that focus on genre; stars; authorship; film production, distribution and exhibition; theory and politics, including women's and queer cinema; and transnational connections. Spotlight articles within each section offer key case studies, including of individual films that illuminate larger histories (Heimat, Downfall, The Lives of Others, The Edge of Heaven and many more); stars from Ossi Oswalda and Hans Albers, to Hanna Schygulla and Nina Hoss; directors including F.W. Murnau, Walter Ruttmann, Wim Wenders and Helke Sander; and film theorists including Siegfried Kracauer and Béla Balázs.